Evaluation And Improvement Of The Implementation Of The Intention To Treat Model In Controlled Trials Of Psychotherapies
Funder
National Health and Medical Research Council
Funding Amount
$409,000.00
Summary
Randomized controlled trials (RCTs) are the best way to determine whether patients benefit from a new treatment. In these trials patients are randomly assigned to the new, active treatment, or to a placebo or existing treatment. The groups are compared at the end of the trial. RCTs may be mounted for psychotherapy and educational programs as well as for new drugs and other medical procedures. A major problem for RCTs concerns their statistical analysis when some participants drop out before the ....Randomized controlled trials (RCTs) are the best way to determine whether patients benefit from a new treatment. In these trials patients are randomly assigned to the new, active treatment, or to a placebo or existing treatment. The groups are compared at the end of the trial. RCTs may be mounted for psychotherapy and educational programs as well as for new drugs and other medical procedures. A major problem for RCTs concerns their statistical analysis when some participants drop out before the end of the trial. Dropout is common in trials. Participants may drop out because they feel no benefit from the treatment, dislike side effects, or even because they have recovered quickly. Thus, to compare the groups remaining at the end of trial may introduce serious bias. The Intention to Treat (ITT) principle which has been widely adopted states that outcomes from all patients who enter a trial should be compared at its end. To achieve this, the last available observation for a participant who withdraws is often 'carried forward' to the end of the trial. While currently believed to be conservative, there is evidence that this approach is not always optimal. This project will examine the way in which dropout is treated in trials of two common psychiatric conditions: depression and anxiety disorders. The project will also undertake simulation research to investigate which of a number of modern methods of data analysis yield the most accurate results when participants drop out, and how changes in the design of trials might improve accuracy. The project is important because it will enable researchers to improve the conduct of trials in the future. Erroneous conclusions drawn from RCTs stand to condemn those suffering from disorders to ineffective treatment and to lead to the premature abandonment of potentially useful interventions which are falsely claimed to lack efficacy.Read moreRead less
The Landscape Of Cancer Genes And Associations With Prognosis In Breast Cancer Diagnosed In Premenopausal Women
Funder
National Health and Medical Research Council
Funding Amount
$700,512.00
Summary
Using state of the art technology, the purpose of this project is understand the implications of known cancer mutations in breast cancer diagnosed in premenopausal ER-positive breast cancer. Mutations are abnormalities in the DNA of genes that can provide a signal for uncontrolled growth, a hallmark of cancer. The unique aspect of this project is use of tissue samples from patients who were diagnosed with breast cancer at a young age. This information will help us develop new treatments.
Advancement Of A Personalised Approach To Minimising Infective Complications In Cancer Care
Funder
National Health and Medical Research Council
Funding Amount
$265,138.00
Summary
Managing infections in patients with cancer have become more difficult and unpredictable because of new generation cancer therapies. Measuring the response of the immune system (immune profiling) will allow us to predict which patients will develop infection so that action such as vaccination can be taken to reduce their risk. This program will refine immune profiling to personalise infection care for cancer patients and to introduce it into hospital practice.
Predicting Infections In Cancer Of The Plasma Cells In Bone Marrow (myeloma)
Funder
National Health and Medical Research Council
Funding Amount
$107,764.00
Summary
The study will look for new risks for infection in patients with multiple myeloma, a cancer of plasma cells in the bone marrow. Currently these patients are expected to live longer because of the discovery and use of new generation cancer drugs. By finding new infection risks, the treatment of life threatening infections can be improved or infection can be prevented so patients have a better quality of life whilst on cancer treatment.
The Prediction And Prevention Of Caesarean Section For Slow Progress In Labour
Funder
National Health and Medical Research Council
Funding Amount
$227,261.00
Summary
8% of all births are by caesarean section (CS) for slow labour. Bringing on labour just before the due date reduces the chance of CS but we can’t do this for all women. We have a way to predict high risk of CS for slow labour to select women who may benefit from bringing on the labour. We will perform a study where the women at high risk have can have the labour brought on slightly early. The project could result in 6,000 fewer CSs in Australia alone and prevent many complications of CS.